Matches in SemOpenAlex for { <https://semopenalex.org/work/W2073539441> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2073539441 endingPage "72" @default.
- W2073539441 startingPage "66" @default.
- W2073539441 abstract "Angularity is one of the important aggregate properties contributing to the permanent deformation resistance of asphalt mixtures. Therefore, methods that are able to rapidly and accurately describe aggregate angularity are valuable in the design process of asphalt mixtures. Two computer-automated procedures, which make use of the advances in digital-image processing, to quantify fine aggregate angularity, are presented. The first method relies on the concepts of the erosion-dilation techniques. This consists of subjecting the aggregate surface to a smoothing effect that causes the angularity elements to disappear from the image. Then, the area lost as a result of the smoothing effect is calculated and used to quantify angularity. The second method is based on the fractal approach. Image-analysis techniques are used to measure the fractal length of aggregate boundary. The fractal length increases with aggregate angularity. The proposed imaging techniques are used to capture the aggregate angularity of 23 sand samples that represent a wide range of materials. The results are compared with visual analysis and indirect methods of measuring fine-aggregate angularity, such as the uncompacted air voids, and the angle of internal friction of aggregate mass. In general, the results indicate much promise for measuring aggregate properties using automated imaging technologies." @default.
- W2073539441 created "2016-06-24" @default.
- W2073539441 creator A5050066633 @default.
- W2073539441 creator A5069970555 @default.
- W2073539441 creator A5075570397 @default.
- W2073539441 date "2000-01-01" @default.
- W2073539441 modified "2023-09-25" @default.
- W2073539441 title "Fine-Aggregate Angularity: Automated Image Analysis Approach" @default.
- W2073539441 cites W1496371649 @default.
- W2073539441 cites W1785818880 @default.
- W2073539441 cites W1967405960 @default.
- W2073539441 cites W1984691406 @default.
- W2073539441 cites W1990617091 @default.
- W2073539441 cites W2041701007 @default.
- W2073539441 cites W2045004323 @default.
- W2073539441 cites W2045830316 @default.
- W2073539441 cites W2050770458 @default.
- W2073539441 cites W2057194095 @default.
- W2073539441 cites W2066175582 @default.
- W2073539441 cites W2081566283 @default.
- W2073539441 cites W2082528539 @default.
- W2073539441 cites W4235555082 @default.
- W2073539441 doi "https://doi.org/10.3141/1721-08" @default.
- W2073539441 hasPublicationYear "2000" @default.
- W2073539441 type Work @default.
- W2073539441 sameAs 2073539441 @default.
- W2073539441 citedByCount "54" @default.
- W2073539441 countsByYear W20735394412012 @default.
- W2073539441 countsByYear W20735394412013 @default.
- W2073539441 countsByYear W20735394412014 @default.
- W2073539441 countsByYear W20735394412015 @default.
- W2073539441 countsByYear W20735394412016 @default.
- W2073539441 countsByYear W20735394412017 @default.
- W2073539441 countsByYear W20735394412018 @default.
- W2073539441 countsByYear W20735394412019 @default.
- W2073539441 countsByYear W20735394412020 @default.
- W2073539441 countsByYear W20735394412021 @default.
- W2073539441 countsByYear W20735394412022 @default.
- W2073539441 countsByYear W20735394412023 @default.
- W2073539441 crossrefType "journal-article" @default.
- W2073539441 hasAuthorship W2073539441A5050066633 @default.
- W2073539441 hasAuthorship W2073539441A5069970555 @default.
- W2073539441 hasAuthorship W2073539441A5075570397 @default.
- W2073539441 hasConcept C104317675 @default.
- W2073539441 hasConcept C115961682 @default.
- W2073539441 hasConcept C134306372 @default.
- W2073539441 hasConcept C154945302 @default.
- W2073539441 hasConcept C159985019 @default.
- W2073539441 hasConcept C192562407 @default.
- W2073539441 hasConcept C2909954168 @default.
- W2073539441 hasConcept C31972630 @default.
- W2073539441 hasConcept C33923547 @default.
- W2073539441 hasConcept C3770464 @default.
- W2073539441 hasConcept C40636538 @default.
- W2073539441 hasConcept C41008148 @default.
- W2073539441 hasConcept C4679612 @default.
- W2073539441 hasConcept C9417928 @default.
- W2073539441 hasConceptScore W2073539441C104317675 @default.
- W2073539441 hasConceptScore W2073539441C115961682 @default.
- W2073539441 hasConceptScore W2073539441C134306372 @default.
- W2073539441 hasConceptScore W2073539441C154945302 @default.
- W2073539441 hasConceptScore W2073539441C159985019 @default.
- W2073539441 hasConceptScore W2073539441C192562407 @default.
- W2073539441 hasConceptScore W2073539441C2909954168 @default.
- W2073539441 hasConceptScore W2073539441C31972630 @default.
- W2073539441 hasConceptScore W2073539441C33923547 @default.
- W2073539441 hasConceptScore W2073539441C3770464 @default.
- W2073539441 hasConceptScore W2073539441C40636538 @default.
- W2073539441 hasConceptScore W2073539441C41008148 @default.
- W2073539441 hasConceptScore W2073539441C4679612 @default.
- W2073539441 hasConceptScore W2073539441C9417928 @default.
- W2073539441 hasIssue "1" @default.
- W2073539441 hasLocation W20735394411 @default.
- W2073539441 hasOpenAccess W2073539441 @default.
- W2073539441 hasPrimaryLocation W20735394411 @default.
- W2073539441 hasRelatedWork W2019129464 @default.
- W2073539441 hasRelatedWork W2372832441 @default.
- W2073539441 hasRelatedWork W2381261941 @default.
- W2073539441 hasRelatedWork W2381710429 @default.
- W2073539441 hasRelatedWork W2382643336 @default.
- W2073539441 hasRelatedWork W2388217319 @default.
- W2073539441 hasRelatedWork W2390309156 @default.
- W2073539441 hasRelatedWork W2918141037 @default.
- W2073539441 hasRelatedWork W3158814579 @default.
- W2073539441 hasRelatedWork W622828897 @default.
- W2073539441 hasVolume "1721" @default.
- W2073539441 isParatext "false" @default.
- W2073539441 isRetracted "false" @default.
- W2073539441 magId "2073539441" @default.
- W2073539441 workType "article" @default.